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Testing the Presence of Implicit Hiring Quotas with Application to German Universities

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  • Lena Janys

    (Newcastle University Business School and IZA)

Abstract

Women are underrepresented in academia in general and economics in particular. I introduce a test to detect an underresearched form of hiring bias: implicit quotas. I derive a test under the null hypothesis of gender-blind hiring that requires no additional information about individual hires and can be used to analyze hiring bias in a variety of other hiring settings. I derive its asymptotic distribution and propose a parametric bootstrap procedure that resamples from the exact distribution. I analyze the distribution of female professors at German universities and find an implicit quota of one or two women on the department level.

Suggested Citation

  • Lena Janys, 2024. "Testing the Presence of Implicit Hiring Quotas with Application to German Universities," The Review of Economics and Statistics, MIT Press, vol. 106(3), pages 627-637, May.
    • Handle: RePEc:tpr:restat:v:106:y:2024:i:3:p:627-637
    DOI: 10.1162/rest_a_01195
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    Cited by:

    1. Joanna Tyrowicz & Lucas Augusto van der Velde & Magdalena Smyk, 2024. "Gender-neutral hiring of junior scholars," GRAPE Working Papers 94, GRAPE Group for Research in Applied Economics.

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